Joint Optimization of Replacement and Spare Parts Ordering with Dual Sourcing
To optimize the joint decisions of equipment maintenance and spare parts ordering with dual sourcing, a joint policy is proposed for a multi-unit parallel manufacturing system. The degradation trajectories of components are described by the Poisson process. The joint decisions are modeled according...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Shanghai Jiao Tong University
2022-10-01
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| Series: | Shanghai Jiaotong Daxue xuebao |
| Subjects: | |
| Online Access: | http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-10-1359.shtml |
| _version_ | 1797991400107671552 |
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| author | YE Hongqing, SU Huade, ZHENG Meimei, XIA Tangbin |
| author_facet | YE Hongqing, SU Huade, ZHENG Meimei, XIA Tangbin |
| author_sort | YE Hongqing, SU Huade, ZHENG Meimei, XIA Tangbin |
| collection | DOAJ |
| description | To optimize the joint decisions of equipment maintenance and spare parts ordering with dual sourcing, a joint policy is proposed for a multi-unit parallel manufacturing system. The degradation trajectories of components are described by the Poisson process. The joint decisions are modeled according to the Markov decision process. Based on components and inventory status, the transition probability of a system is formulated. The value iteration algorithm is applied to obtain the optimal maintenance and spare parts ordering policy to minimize the average total cost of the system. Furthermore, to shorten the computation time, a heuristic strategy is developed according to the principle of sequential optimization. Numerical experiments with a two-component system are conducted to analyze the decision difference between the heuristic strategy and the optimal strategy. The sensitivity analysis shows that compared with the optimal strategy, the heuristic strategy can reduce the computation time when the total cost increases by no more than 5%. |
| first_indexed | 2024-04-11T08:51:39Z |
| format | Article |
| id | doaj.art-2ed385e5bdd543d3938eae6a545cb707 |
| institution | Directory Open Access Journal |
| issn | 1006-2467 |
| language | zho |
| last_indexed | 2024-04-11T08:51:39Z |
| publishDate | 2022-10-01 |
| publisher | Editorial Office of Journal of Shanghai Jiao Tong University |
| record_format | Article |
| series | Shanghai Jiaotong Daxue xuebao |
| spelling | doaj.art-2ed385e5bdd543d3938eae6a545cb7072022-12-22T04:33:33ZzhoEditorial Office of Journal of Shanghai Jiao Tong UniversityShanghai Jiaotong Daxue xuebao1006-24672022-10-0156101359136710.16183/j.cnki.jsjtu.2021.151Joint Optimization of Replacement and Spare Parts Ordering with Dual SourcingYE Hongqing, SU Huade, ZHENG Meimei, XIA Tangbin01. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2. Shanghai Jiangnan Changxing Shipbuilding Co., Ltd., Shanghai 201913, ChinaTo optimize the joint decisions of equipment maintenance and spare parts ordering with dual sourcing, a joint policy is proposed for a multi-unit parallel manufacturing system. The degradation trajectories of components are described by the Poisson process. The joint decisions are modeled according to the Markov decision process. Based on components and inventory status, the transition probability of a system is formulated. The value iteration algorithm is applied to obtain the optimal maintenance and spare parts ordering policy to minimize the average total cost of the system. Furthermore, to shorten the computation time, a heuristic strategy is developed according to the principle of sequential optimization. Numerical experiments with a two-component system are conducted to analyze the decision difference between the heuristic strategy and the optimal strategy. The sensitivity analysis shows that compared with the optimal strategy, the heuristic strategy can reduce the computation time when the total cost increases by no more than 5%.http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-10-1359.shtmlpreventive maintenancespare parts orderingdual sourcingjoint optimizationheuristic strategy |
| spellingShingle | YE Hongqing, SU Huade, ZHENG Meimei, XIA Tangbin Joint Optimization of Replacement and Spare Parts Ordering with Dual Sourcing Shanghai Jiaotong Daxue xuebao preventive maintenance spare parts ordering dual sourcing joint optimization heuristic strategy |
| title | Joint Optimization of Replacement and Spare Parts Ordering with Dual Sourcing |
| title_full | Joint Optimization of Replacement and Spare Parts Ordering with Dual Sourcing |
| title_fullStr | Joint Optimization of Replacement and Spare Parts Ordering with Dual Sourcing |
| title_full_unstemmed | Joint Optimization of Replacement and Spare Parts Ordering with Dual Sourcing |
| title_short | Joint Optimization of Replacement and Spare Parts Ordering with Dual Sourcing |
| title_sort | joint optimization of replacement and spare parts ordering with dual sourcing |
| topic | preventive maintenance spare parts ordering dual sourcing joint optimization heuristic strategy |
| url | http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-10-1359.shtml |
| work_keys_str_mv | AT yehongqingsuhuadezhengmeimeixiatangbin jointoptimizationofreplacementandsparepartsorderingwithdualsourcing |